Visual Intelligence congratulates Hyeongji Kim for getting her research paper "ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation" accepted for a coming European Conference on Computer Vision (ECCV) Workshop"
- I am excited to present our paper at this event, as it will provide a great opportunity to share our findings and exchange ideas with other researchers in the field, says postdoctoral researcher and main author, Hyeongji Kim.
By Petter Bjørklund, Communication Advisor at SFI Visual Intelligence.
Visual Intelligence congratulates Hyeongji Kim for getting her research paper "ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation" accepted for the coming European Conference on Computer Vision (ECCV) Workshop in September. The submitted work offers a novel approach to metric learning called "ProxyDR".
ECCV is reputed as a premier research conference in Computer Vision and Machine Learning, alongside top research conferences like CVPR and ICCV. The workshop is titled "Beyond Euclidean: Hyperbolic and Hyperspherical Learning for Computer Vision".
- I am excited to present our paper at this event, as it will provide a great opportunity to share our findings and exchange ideas with other researchers in the field. I look forward to demonstrating the strong potential of the distance ratio-based formulation, originally developed in my previous work, and promoting its wider adoption in metric learning, says Kim.
Kim is a postdoctoral research fellow at UiT The Arctic University of Norway and SFI Visual Intelligence. She completed her doctoral degree at the University of Bergen in October 2023.
The goal of metric learning is to learn an embedding space where similar data points are positioned close together while different points are spaced farther apart. According to Kim, this is essential for applications like image retrieval and few-shot classification.
However, the conventional squared distance softmax formulation often results in class representatives being too uniformly distributed, which hinders the model's ability to capture complex relationships between classes.
- To address these limitations, we propose a distance ratio (DR)-based methodology called ProxyDR, which enhances the learning of semantic relationships among classes. Additionally, ProxyDR integrates proxies as class representatives, which simplifies the learning process and improves efficiency.
She adds that through extensive evaluations on diverse datasets, she and the co-authors demonstrate its superior capability to capture complex semantic structures without compromising classification accuracy.
The majority of the work was done while Kim worked on her PhD thesis. Another additional experiment and rewriting was done in collaboration with Visual Intelligence researchers Michael Kampffmeyer and Changkyu Choi.
List of authors: Hyeongji Kim, Changkyu Choi, Michael Kampffmeyer, Terje Berge, Pekka Parviainen, Ketil Malde. Malde and Parviainen supervised Kim's PhD project.
The fifth Visual Intelligence annual report, showcasing the centre's activities, results, staff, funding and publications for 2024, is now available on our web pages.
.jpg)
I juni møtes det norske KI-miljøet i Tromsø for å presentere ny forskning og diskutere nye retninger innen feltet. KI-forskere inviteres til å delta og vise fram forskningen sin under konferansen.
Visual Intelligence and the Digital Innovation Lab invited industry professionals to present ideas for master's projects to computer science and machine learning students at UiT The Arctic University of Norway.
Kunstig intelligens (KI) endrer måten vi løser komplekse problemer på. Ved UiT Norges arktiske universitet leder professor Robert Jenssen Visual Intelligence, et senter for forskningsdrevet innovasjon som utvikler neste generasjons KI-metoder.
Visual Intelligence researchers had the great pleasure of talking to high school students about the AI study programme at UiT The Arctic University of Norway during the UiT Open Day.
Director Robert Jenssen represented Visual Intelligence at the CuttingEdgeAI seminar "KI anno 2023: I offentlighetens interesse?" at the University of Bergen on March 7th.
Det hender at kunstig intelligens behandler menn og kvinner ulikt. Hvordan skjer dette? KI-forsker Elisabeth Wetzer forklarer hva som ligger bak skjevhetene i teknologien (Popular science story in forskning.no and sciencenorway.no)
Congratulations to Visual Intelligence board member Viktoria Gulliksen Stray for being featured in Abelia and ODA-Nettverk's list of Top 50 Influential Tech Women in Norway 2025!
Norwegian Minister of Research and Higher Education, Sigrun Aasland (Ap) got to hear about Visual Intelligence's work toward developing the next generation of deep learning methodology at a visit to UiT in Tromsø
Hva er lov og hva er ikke lov? Det er blant spørsmålene studentene stiller seg. (NRK.no story featuring director Robert Jenssen)
We had the pleasure of talking to students about the exciting career opportunities at Visual Intelligence and UiT The Arctic University of Norway during TEKdagen 2025
Last week, we welcomed students from Breivang upper secondary school to a full-day practical session on AI and programming at UiT The Arctic University of Norway
We happily welcome Solveig Thrun, who recently started as a doctoral research fellow at Visual Intelligence in Tromsø in January 2025.
Visual Intelligence and UiT researchers organized a special curricular course on collaborative coding and reproducible research at UiT The Arctic University of Norway.
Andrew McDonald, a PhD student from University of Cambridge and the British Antarctic Survey, presented his work on sea ice forecasting with diffusion models, as well as the downstream applications of those forecasts, at Visual Intelligence in Tromsø.
Deep learning researchers from 27 different countries congregated at the 8th edition of the NLDL conference. - I have seen several interesting posters and talks that have opened my mind about different paths to explore in my own research, says NLDL 2025 attendee Tiago Ramos.
NRK, the national broadcasting company in Norway, spoke to Visual Intelligence researchers Robert Jenssen, Suaiba Amina Salahuddin, Michael Kampffmeyer and Elisabeth Wetzer about this year's Northern Lights Deep Learning Conference in Tromsø, Norway.
Andre uka i januar samles forskere fra hele verden i Tromsø for å dele og lære om siste nytt innen forskning på kunstig intelligens.
In record time, principal investigator Michael Kampffmeyer became a professor in machine learning at the young age of 32. Read more about his academic journey and work in the latest UiT Researcher Portrait
.png)
2024 has been a year full of exciting events and accomplishments, and we look forward to continuing our journey on researching the next generation of deep learning methodology in 2025!